An agent-based recommendation framework, memory-based Personalized Recommendation Tool learning via autonomous language Agents (PRTA), in which an LLM acts as a central planner interacting with multiple recommendation models as tools, demonstrating the superiority of PRTA over traditional recommendation and LLM-based b...
Ming-Dai Yang, Zhi-Wei Liu, Wei-Zhi Zhang et al.· Proceedings of the 20th ACM...· 1 citation
This work introduces Agentic Commerce World (ACWorld), an environment for evaluating such agents across ongoing transactions, and validates agent actions before updating shared transaction state and records the resulting interactions, making agent behavior auditable and evaluation reproducible.
Shi-Chen Fan, Ming-Dai Yang, Duo Wang et al.· 2 citations· ⚡1
It is shown that this felt penalty becomes behaviorally binding through SPARC, a byte-clean code-gated reflection mechanism: LLM merchants fabricate when lying is free but restrain themselves when fabrication costs them sales, a self-interested response rather than compliance.